HHS Public Access Author manuscript Author Manuscript

Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01. Published in final edited form as: Wiley Interdiscip Rev Dev Biol. 2016 July ; 5(4): 518–534. doi:10.1002/wdev.230.

Skeletal muscle fiber type: using insights from muscle developmental biology to dissect targets for susceptibility and resistance to muscle disease

Author Manuscript

Jared Talbot and Department of Molecular Genetics, The Ohio State University, 1060 Carmack Road, Columbus OH 43210, USA Lisa Maves Center for Developmental Biology and Regenerative Medicine, Seattle Children’s Research Institute, 1900 Ninth Avenue, Seattle, WA, USA 98101 Department of Pediatrics, University of Washington, Seattle, WA, USA

Abstract

Author Manuscript

Skeletal muscle fibers are classified into fiber types, in particular slow twitch versus fast twitch. Muscle fiber types are generally defined by the particular myosin heavy chain isoforms that they express, but many other components contribute to a fiber’s physiological characteristics. Skeletal muscle fiber type can have a profound impact on muscle diseases, including certain muscular dystrophies and sarcopenia, the aging-induced loss of muscle mass and strength. These findings suggest that some muscle diseases may be treated by shifting fiber type characteristics either from slow to fast, or fast to slow phenotypes, depending on the disease. Recent studies have begun to address which components of muscle fiber types mediate their susceptibility or resistance to muscle disease. However, for many diseases it remains largely unclear why certain fiber types are affected. A substantial body of work has revealed molecular pathways that regulate muscle fiber type plasticity and early developmental muscle fiber identity. For instance, recent studies have revealed many factors that regulate muscle fiber type through modulating the activity of the muscle regulatory transcription factor MYOD1. Future studies of muscle fiber type development in animal models will continue to enhance our understanding of factors and pathways that may provide therapeutic targets to treat muscle diseases.

Author Manuscript

Introduction The skeletal muscle groups of the mammalian body are made up of bundles of muscle fibers. These fibers can be assigned to different identity classifications ("Types"), with characteristic movement rates, response to neural inputs, and metabolic styles1,2. Fiber types are a conserved feature of vertebrate muscle; for instance, adult mouse and fish musculature shows a gradation of myosins3,4, metabolic activity5,6, patterns of innervation7,8,9, and many other distinguishing characteristics1,2,10,11. Skeletal muscle fibers are broadly classified as

Correspondence to: Lisa Maves.

Talbot and Maves

Page 2

Author Manuscript Author Manuscript

"slow-twitch" (type 1) and "fast-twitch" (type 2). Based on differential myosin heavy chain (MYH) gene expression, there is further classification of fast-twitch fibers into three major subtypes (types 2A, 2X, and 2B, although humans do not appear to have MYH4-expressing type 2B fibers; Figure 1)1. Hybrid MYH expression in different fibers of a muscle group can allow for even more subtypes (1/2A, 2A/2X, 2X/2B), resulting in an almost continuous range of ATP usage and muscle contraction speeds, from the fastest (type 2B) to the slowest (type 1)1,3. In addition to the standard adult MYHs in Figure 1, there are also other MYHs expressed during development and MYHs that are very restricted to particular muscle groups1,2. Skeletal muscle fibers also vary in energy production. Type 1 and 2A fibers primarily use oxidative metabolism, and type 2X and 2B fibers primarily rely upon glycolytic metabolism. However, even here there is variation, and energy usage is not a strict predictor of fiber type1,3. In addition to MYH expression and cellular metabolism programs, factors contributing to fiber-type identities include multiple components of the sarcomere contractile machinery, such as fast and slow tropomyosin isoforms12. Recent bioinformatic analyses revealed that structural proteins often use alternative splice forms in different fiber types13,14,15, greatly increasing the diversity of protein forms that differentiate these muscle types. Other bioinformatic analyses have identified numerous microRNAs preferentially expressed in slow or fast muscle, providing potential regulatory mechanisms to impart fiber type identity16,17. Ultimately, the coordinated regulation of fiber-type-specific biochemical and physiological systems gives each fiber type unique functional properties.

Author Manuscript Author Manuscript

In mammalian skeletal muscles, multiple fiber types are generally intermingled within a single muscle group, and different muscle groups have varying proportions of fiber types1,2,12,18. For example, the human soleus leg muscle is predominantly type 1 fibers, whereas the triceps arm muscle is predominantly type 218. These proportions are plastic, however, and muscle fibers have the ability to remodel their phenotypes to help muscles adapt to different uses1–3. For example, endurance exercise training can induce a modestly increased proportion of type 1 fibers. Conversely, disease states such as obesity are also associated with altered proportions of fiber types. The diversity in contraction physiology and metabolic activity of different fiber types, along with fiber-type plasticity, not only provide for a wide range of functions but also provide differential susceptibility to certain muscle diseases. In this review, we focus on three areas related to the role of muscle fiber type in muscle disease. First, we describe the muscle diseases that preferentially affect specific muscle fiber types. Second, we describe recent studies that have begun to mechanistically dissect the reasons for muscle fiber type-specific susceptibility and resistance to muscle diseases; in this section we focus on Duchenne muscular dystrophy and the effects of aging. Third, we discuss molecular pathways that can reprogram and specify muscle fiber types. In this section we describe how many of the factors that regulate muscle fiber type identities carry out their effects, with a focus on factors that act via the muscle regulatory transcription factor MYOD1. We conclude by calling for further investigation into the transcriptional control of muscle fiber type, which may offer insights into the causes of fiber type-specific susceptibility in muscle diseases.

Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 3

Author Manuscript

MUSCLE DISEASES AFFECTING MUSCLE FIBER TYPE There are many inherited myopathies and other acquired muscle-related disorders that preferentially affect specific skeletal muscle fiber types. We summarize these disorders and fiber-type effects in Table 1. It largely remains unclear why certain muscle diseases preferentially affect particular fiber types. Because fiber-type specific defects are not observed in all myopathies, non-specific muscle degeneration cannot account for the absence of particular fiber types in some diseases. Thus, understanding the fiber-typespecific effects of these muscle disorders may provide important insights into muscle disease pathologies and potential treatments. Indeed, as we describe below, for some of these diseases, the manipulation of muscle fiber type is a candidate therapeutic approach. Genetic myopathies

Author Manuscript Author Manuscript

Duchenne muscular dystrophy—Duchenne muscular dystrophy (DMD) is the most common childhood muscular dystrophy; this disease is caused by mutations in the DMD gene that encodes dystrophin19. In human limb muscle samples, Webster et al. showed that type 2 fibers (then referred to as type 2B, but likely type 2X) are the first fibers to degenerate and are eventually lost in DMD patients, whereas type 1 fibers are affected relatively late20. Subsequent studies on muscle biopsies from DMD patients confirmed these findings21,22. The type 1 fibers remaining in DMD patients are not all normal because they can co-express embryonic or fetal MYHs along with slow MYH, indicating that those fibers have undergone degeneration and regeneration, but these effects in type 1 fibers are not as severe as those observed in type 2 fibers20,21. Studies in mouse and dog models of DMD have shown that muscle groups with high proportions of fast muscle, and in particular the glycolytic type 2 fibers, are also preferentially affected, both structurally and functionally23,24,25,26,26. Webster et al. proposed that promoting slow muscle fiber function could be a therapeutic approach to delay the progression of DMD20. We will review more recent studies that have addressed this issue below (see DISSECTING MUSCLE FIBERTYPE RESISTANCE AND SUSCEPTIBILITY TO MUSCLE DISEASE).

Author Manuscript

Facioscapulohumeral muscular dystrophy—Facioscapulohumeral muscular dystrophy (FSHD) is a progressive muscular dystrophy characterized by weakness and wasting of the facial, shoulder and upper arm muscles. FSHD is strongly associated with, and likely caused by, aberrant activation of DUX4, which encodes a double homeobox transcription factor that is normally repressed in skeletal muscle27. An examination of muscle fibers from patient biopsies showed that maximum force-generating capacity is reduced in type 2 FSHD fibers but not in type 1 fibers28. Consistent with these findings, an earlier study of FSHD patient muscle biopsies used histochemical, transcriptomic, and proteomic analyses to show an increased proportion of type 1 fibers in FSHD patients, suggesting that type 2 fibers are more susceptible to FSHD29. Myotonic dystrophy—The myotonic dystrophies Type 1 and Type 2 (DM1 and DM2) are among the most common adult-onset muscular dystrophies. They share clinical phenotypes including multisystem involvement, muscle atrophy, and muscle weakness. Both types of myotonic dystrophies are caused by microsatellite expansions; DM1 is caused by

Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 4

Author Manuscript

microsatellite expansions in DMPK, and DM2 is caused by microsatellite expansions in CNBP30. Despite these shared attributes, DM1 and DM2 exhibit different fiber-type effects. DM1 shows type 1 fiber atrophy and a high frequency of type 1 fibers with central nuclei, whereas DM2 shows type 2 fiber atrophy and high frequency of type 2 fibers with central nuclei31,32. In DM2, the type 2 fibers that remain can show hypertrophy32. Also, in DM1, sarcomeric force generation is reduced in both fiber types but particularly in type 133. The central nuclei may be indications of incomplete maturation of type 1 fibers (in DM1), or type 2 fiber hypertrophy (in DM2)32.

Author Manuscript

Congenital fiber type disproportion—Congenital fiber type disproportion (CFTD) is a congenital myopathy that is diagnosed when type 1 fibers are found in predominant proportions, are consistently much smaller than type 2 fibers, and there is no other histologic muscle structural abnormality34. Mutations in several genes have been linked to CFTD, including ACTA1, LMNA, MYH7, RYR1, TPM2, and TPM334–36. It is not clear how mutations in these genes lead to fiber size disproportion, particularly because many of these genes are expressed in both fiber types. Mutations in these genes are also associated with other myopathies that do not exhibit fiber size disproportion34.

Author Manuscript

Myosinopathies—Myosinopathies are muscle diseases caused by mutations in myosin heavy chain genes; certain myosinopathies show atrophy of specific fiber types37. For example, mutations in slow MYH7 can lead to a broad spectrum of skeletal muscle and cardiac myopathies and have been linked with fiber-type disproportion (including CFTD and Laing distal myopathy), which consistently show smaller diameter type 1 fibers but variable predominance of type 1 fibers38,39,40,41. Mutations in fast MYH2 lead to loss of type 2A muscle fibers accompanied by fatty infiltration38. Patients with these MYH2 mutations show mild muscle weakness along with weakness of the facial and eye muscles. The fiber-type specificity of these particular myosinopathies are easily understood, because MYH2 is expressed in type 2A fibers, and MYH7 is expressed in type 1 (Figure 1).

Author Manuscript

Pompe disease—Pompe disease is a glycogen storage disease caused by defects in acid alpha-glucosidase (GAA)39. With deficiency or absence of GAA, glycogen accumulates in lysosomes, leading to lysosome swelling, blocking of lysosome-autophagosome fusion, and accumulation of autophagic vesicles. Skeletal and cardiac muscle is most affected by Pompe disease. Loss of GAA activity leads to the infantile form, which presents severe muscle weakness and fatal hypertrophic cardiomyopathy. Partial loss of GAA activity leads to later onset of progressive skeletal muscle weakness. Mouse models of Pompe have been generated through targeted disruptions of the Gaa gene. These Gaa mutant mouse models show features of both the infantile and late-onset forms of the disease. In Gaa knock-out mice that mimic the late-onset form, type 2 fibers exhibit decreased fiber size and massive autophagic build-up, whereas type 1 fibers, even though they exhibit induction of autophagy, do not show decreased size or autophagic buildup40,41. Studies thus far in human Pompe patient biopsies have not detected a selective fiber-type effect39, although see van den Berg et al42. While in mice, type 1 fibers respond better to enzyme replacement therapies than type 2 fibers do43,44, the results in human studies have been mixed. It remains to be seen whether fiber shifting will become an effective therapy for Pompe disease.

Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 5

Other muscle wasting disorders

Author Manuscript

The effects of acquired muscle wasting and metabolic disorders, in particular type 2 diabetes, obesity, and aging, on specific fiber types have been the subject of many excellent reviews1,2,45,46. Here we focus on studies of human subjects and summarize some of the major findings.

Author Manuscript

Obesity and type 2 diabetes—Obesity and type 2 diabetes are characterized by severe insulin resistance in skeletal muscle1,2. Obese individuals and individuals with type 2 diabetes both show reduced proportions of type 1 fibers and increased proportions of type 2X fibers47,48,49,50,51. The proportion of type 1 fibers correlates with insulin responsiveness52. Furthermore, muscle biopsies from diabetic patients and from patients with a family history of type 2 diabetes showed reduced expression of the oxidative metabolism program, consistent with a shift to type 2X fibers53,54. However, while studies consistently link decreased oxidative enzyme activity with obesity and type 2 diabetes, not all studies find changes in fiber-type proportions55. Further research is needed to clarify whether and how changes in metabolic programs or in fiber-type distributions might increase susceptibility to obesity and type 2 diabetes.

Author Manuscript

Muscle inactivity—Loss of or reduced muscle use has been shown to cause significant atrophy of all muscle fiber types but particularly of type 1 fibers, accompanied by a fibertype shift from type 1 and 2A fibers to type 2X56,57,58,59. For instance, both spinal cord injury and bed rest shift fibers towards faster phenotypes, though there have been some variations to these findings45. For example, Ditor et al. observed the most pronounced atrophy in type 2A fibers in spinal cord injury subjects60. Bed rest appears to most strongly induce type 1 fiber atrophy, and an increase in hybrid fibers appears after bed rest59. Experiments in rat models have shown that denervation can cause fiber-type specific atrophy but in different fiber types depending on the muscle group examined46. Taken together, the type of injury, the muscle group affected, and the time since injury or rest may all influence how specific muscle fiber types are affected45.

Author Manuscript

Aging/sarcopenia—The loss of skeletal muscle mass and strength due to aging, called sarcopenia, is characterized by a selective reduced size and greater atrophy of type 2 fibers61,62. These effects on fiber type morphology correlate with reduced expression of MYH2 (type 2A) and MYH1 (type 2X), whereas MYH7 (type 1) expression was not affected63,64. Other examples of muscle wasting, such as cancer cachexia, fasting, and sepsis, show similar effects on muscle fiber type46. In these muscle disorders type 2x fibers are particularly susceptible to atrophy; one possible reason for this increased susceptibility is their lower expression of PPARGC1A (also known as PGC-1α), relative to type 1 and 2A fibers65. In humans, PPARGC1A is positively correlated with the proportion of type 1 fibers66. In mouse models, PPARGC1A promotes slow muscle fiber type and oxidative metabolism and can repress muscle atrophy67,68. We discuss PPARGC1A in more detail below. Heart failure and COPD—Diseases such as chronic heart failure and chronic obstructive pulmonary disease (COPD) can lead to systemic effects on peripheral skeletal muscle. In

Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 6

Author Manuscript

patients with chronic heart failure and COPD, limb muscle exhibits a shift in fiber type proportions, from type 1 to type 2, with corresponding changes in MYH expression69,70. These changes are similar to those seen in muscle inactivity disorders (see above). However, respiratory muscles, like the diaphragm, show the opposite effects, with a fiber-type shift of type 2 to type 169. In COPD, reduced type 1 fiber proportions in leg muscle are strongly associated with disease severity; nonetheless, patients can show much variability in fiber size and fiber-type proportions71. Gouzi et al. showed that COPD patients could be classified into 2 groups, one with muscle fiber atrophy and severe loss of type 1 fibers, and a second group with reduced type 1 fiber proportions and preserved fiber size72. Such classifications may improve both the ability to predict patients’ responses to interventions and our understanding of disease mechanisms. These studies underscore the significance of understanding muscle fiber-type-related phenotypes in muscle diseases.

Author Manuscript

DISSECTING MUSCLE FIBER-TYPE RESISTANCE AND SUSCEPTIBILITY TO MUSCLE DISEASE Inducing slow muscle fiber type to ameliorate DMD

Author Manuscript

As described above, the finding that DMD preferentially affects type 2 fibers led Webster et al. to suggest that possible DMD therapies could work by “selectively promoting slow muscle fiber function”20. More recent studies using the Dmdmdx mutant mouse model for DMD found that genetic or pharmacological manipulations that ameliorate symptoms also activate a slow muscle phenotype73. One prominent example of a factor whose expression can ameliorate DMD while promoting a slow muscle phenotype is PPARGC1A. PPARGC1A is a transcriptional coactivator for nuclear receptors and other transcription factors, that acts as a master regulator of the slow muscle contractile and oxidative metabolism gene expression programs67,74. Transgenic overexpression of PPARGC1A in mice ameliorates muscle structural and functional defects caused by Dmdmdx mutation75. In this context, PPARGC1A upregulates gene expression programs for the slow muscle contractile machinery, oxidative metabolism, and the neuromuscular junction67,75. All of these PPARGC1A targets could provide benefits to DMD muscle. These studies support the hypothesis that promoting a slow muscle fiber type provides resistance to DMD73. However, it is not functionally clear why slow muscles are resistant to DMD; one possible explanation is that type 1 fibers express higher levels of utrophin76. Utrophin is structurally very similar to dystrophin, can compensate for the loss of dystrophin, and its upregulation correlates with the induction of slow muscle by factors that ameliorate the Dmdmdx mouse, including PPARGC1A75,77,78. These features have made utrophin a strong candidate for a therapeutic target for DMD78,79.

Author Manuscript

Two recent studies have directly tested whether utrophin, a component of the slow muscle program, is required for amelioration of DMD. Chan et al. test whether utrophin upregulation is required for the ability of PPARGC1A overexpression to ameliorate the muscle defects in mdx mice80. They take advantage of the mouse Dmdmdx;Utrn double mutant, which lacks both dystrophin and utrophin and has a more severe muscle degeneration phenotype than the Dmdmdx mutant81,82. They show that transgenic overexpression of PPARGC1A in the Dmdmdx;Utrn mice robustly ameliorates the muscle

Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 7

Author Manuscript

structural and functional defects, even in the absence of utrophin. They also show that transgenic overexpression of PPARGC1B, a PPARGC1A homolog, ameliorates the Dmdmdx model similarly to PPARGC1A, even though PPARGC1B does not induce upregulation of utrophin or the neuromuscular junction program. Although the Chan et al. study did not directly test fiber types after PPARGC1 overexpression, they did find that PPARGC1 increases oxidative muscle enzymes, independent of utrophin. This work shows that PPARGC1A and PPARGC1B can ameliorate mouse DMD independently of utrophin or the neuromuscular junction program, indicating that other components of the slow muscle phenotype provide resistance to DMD.

Author Manuscript

In a second study, Al-Rewashdy et al. also test whether utrophin is required for amelioration of mouse DMD83. Previous studies have shown that activation of the 5’ adenosine monophosphate-activated protein kinase (AMPK) pathway with the pharmacological agent AICAR can ameliorate mdx muscle defects84,85. AMPK activation by AICAR induces a slower, oxidative fiber phenotype as well as increased utrophin and PPARGC1A expression84,85. Al-Rewashdy et al. treated Dmdmdx;Utrn mice with AICAR to test the requirement for utrophin in the amelioration of DMD83. They found that for some metrics, Dmdmdx and the Dmdmdx;Utrn mice both responded positively to AICAR; in both genotypes, AICAR treatment induced oxidative gene expression, an increased proportion of type 2A (slower) fibers, and slower muscle contractile kinetics. However, for other metrics only mdx mice responded to AICAR; this drug was not able to improve muscle cell membrane structure or muscle function in the Dmdmdx;Utrn mice. Therefore, this study shows that upon pharmacological induction of the slow muscle program, utrophin is required for resistance to DMD.

Author Manuscript

These studies provide excellent examples of using genetics and pharmacology in animal models to dissect how pathways that modulate fiber type rescue the DMD phenotype. Since PPARGC1 increases oxidative enzymes and AICAR increases type 2A (oxidative) muscle, fiber shifting may be a shared mechanism for both types of utrophin-independent DMD rescue; future work will need to directly test this potential connection. However, these studies provide conflicting evidence as to how important utrophin upregulation is to mediate the physiological effects of pathways that ameliorate DMD. One difference between these two studies is that the Chan et al. study induces PPARGC1A expression earlier, which may improve muscle development prior to the phenotypic effects of DMD80,83. Additional studies have suggested that PPARGC1A and AMPK may improve the Dmdmdx phenotype through enhancing mitochondrial or satellite cell functions86,87. Such studies provide additional candidate factors that can be tested for their roles in mediating the rescue of DMD.

Author Manuscript

Enhancing fast muscle growth to ameliorate muscle aging effects Like DMD, aging preferentially causes atrophy of type 2 glycolytic muscle fibers, in humans and in mice61,88. Because skeletal muscle is the primary site of insulin-mediated glucose metabolism, muscle atrophy may potentially lead to metabolic disorders. Indeed, in addition to type 2 fiber atrophy, aging is associated with increased susceptibility to metabolic dysfunction, such as type 2 diabetes89. As in other muscle diseases described

Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 8

Author Manuscript

here, it is not clear how the aging process leads to type 2 fiber atrophy. It is also not known whether type 2 fiber atrophy in aging causes the increased insulin resistance observed during aging. As with DMD, type 1 fibers seem more resistant to aging. There have been efforts to promote slow muscle fibers to ameliorate the effects of aging on metabolic dysfunction74,90. Again, PPARGC1A has been a central candidate factor in these efforts, because it can repress muscle atrophy but its expression normally declines with age68,74. However, studies in different mouse models of aging have shown mixed results in the ability of PPARGC1A overexpression to protect against the effects of aging atrophy91,92.

Author Manuscript Author Manuscript

Recently, Akasaki et al. investigated the relationship between type 2 fiber-specific loss and muscle aging, using transgenic AKT1 overexpression in mice90. The phosphatidylinositol 3kinase/AKT1/MTOR signalling pathway controls muscle fiber size: AKT1 activation causes muscle fiber hypertrophy, and AKT1 inactivation leads to muscle atrophy93,94,95. Aging is associated with impaired AKT1 activation90. In order to directly test the effects of fast/ glycolytic muscle fiber growth in young versus middle-aged mice, Akasaki et al. took advantage of a transgenic mouse model, in which a type 2B fiber-specific transgene drives doxycycline-inducible constitutively active AKT190,96. Middle-aged mice normally show less muscle mass compared to young mice. AKT1-expressing middle-aged mice show similar muscle mass as young mice and show hypertrophy of glycolytic type 2B fibers, the fibers that are preferentially lost during aging in mice. The AKT1-expressing mice show decreased expression of muscle atrophy genes, reduced expression of PPARGC1A, and increased expression of glycolytic metabolism genes, consistent with the selective growth of the type 2B fibers. AKT1 expression thus causes selective skeletal muscle hypertrophy and ameliorates the loss of muscle associated with aging. In addition, the transgenic AKT1 expression improved the metabolic phenotype of the middle-aged mice, including improved glucose metabolism. This work shows that loss of muscle mass is indeed causally related to metabolic dysfunction in aging. Therefore, interventions to preserve or enhance fast/ glycolytic muscle during aging-related muscle atrophy may delay the onset of metabolic dysfunction. This study indicates a strategy to treat sarcopenia by modulating fiber types in an opposite direction than is suggested for treating DMD. Efforts for DMD therapies have focused on enhancing the slow muscle phenotype, which are more resistant to DMD (see above). Even though type 2 fibers are more susceptible to aging, the work from Akasaki et al. shows that enhancing these type 2 fibers is a potential therapeutic approach to delay the onset of metabolic dysfunction90.

Author Manuscript

MOLECULAR PATHWAYS REGULATING PLASTICITY AND SPECIFICATION OF FIBER TYPES Taken together, the studies described here support a hypothesis that modulating the proportion of distinct skeletal muscle fiber types may be a viable therapeutic approach for many muscle diseases. To achieve this goal, we need to understand the genetic cascades that rebuild damaged muscle in adults, the signalling pathways that can alter fiber type in

Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 9

Author Manuscript

established muscle, and the developmental processes that generate muscle fiber types in embryos. Muscle fiber type specification begins in embryos prior to neural input, but, after birth, neural influence can shift muscle fibers to an overall slow or fast phenotype97. The ability to shift between fiber types is referred to as "fiber plasticity"1,2. These two processes (specification and plasticity) employ many shared genes, so the best therapeutic strategies may involve genes from either process. Many excellent reviews have already enumerated the many factors and pathways involved in muscle fiber-type specification and plasticity1,2,73. Here, we will briefly review factors that may be particularly useful for fiber-shifting therapies. In particular, recent studies have revealed many factors that regulate muscle fiber type through modulating the activity of the muscle regulatory transcription factor MYOD1. Figures 2 and 3 illustrate some of the major factors in fiber type specification and plasticity. Muscle fiber type plasticity

Author Manuscript Author Manuscript

The ability to reprogram existing muscle fibers from one type to another may benefit muscle disease treatments2,73. One established way to reprogram muscles in model organisms is to change the neural inputs to muscles97. In response to neural stimulation rates, muscle fibers can be reprogrammed from fast-to-slow or vice versa. This was first discovered by Buller et al.98; subsequent work has confirmed and expanded on this finding99. Although denervated muscle adopts a fast muscle phenotype, other studies indicate that fast muscle is an actively patterned state97. Fitting an active-patterning hypothesis, fiber type correlates with exercise type in athletes100,101, suggesting that physical training may reprogram muscle fibers. Fitting this hypothesis, multiple studies have found that fiber types can be modestly shifted through intensive exercise training regimes102,103,104,105,106. However, the responses to training are modest at best, and only some training studies have been able to induce fiber shifts, prompting calls to better understand how training influences fiber type shifts107. Although further investigation is needed to identify the best strategies, these findings demonstrate that muscle fibers can be reprogrammed in either direction in existing tissues.

Author Manuscript

Pathways regulating fiber-type plasticity have been comprehensively reviewed elsewhere1,2,73. Two of the major pathways in fiber-type plasticity are calcineurin signalling and, as discussed above, AMPK signaling (Figure 2). Calcineurin (PPP3CA), a calciumregulated serine/threonine phosphatase, is a key factor in mediating the muscle fiber-type response to neural input2,108. Calcineurin dephosphorylates and activates NFAT transcription factors, and many studies have used loss- and gain-of-function approaches to show that calcineurin/NFAT signalling plays a major role in promoting a slow, and repressing a fast, muscle fiber type1,2,108. However, different combinations of NFAT factors are required to promote fast muscle fiber types109. A recent study showed that NFATC1 is required in mice for the proper proportions of slow and fast fibers and for fast-to-slow fiber-type switching in response to exercise110, and we discuss roles of NFAT factors more below. The calcineurin/ NFAT pathway is thus a potential therapeutic target for modulating slow and fast fiber types. Indeed, modulation of calcineurin signaling benefits mouse muscular dystrophy models73. Like calcineurin signalling, loss- and gain-of-function manipulations have demonstrated a critical role for AMPK signaling in promoting the slow, oxidative muscle fiber type1,73,111. One of the major mediators of AMPK signalling is PPARGC1A, a potent activator of slow muscle identity, as discussed above1,67,73,74,112. In mice, PPARGC1A is expressed in slow

Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 10

Author Manuscript

fibers at a much higher level than in fast fibers, and when PPARGC1A is overexpressed in fast muscles at physiological levels, it activates markers of slow muscle identity and oxidative metabolism55,63. Mice with skeletal muscle-specific knock-out of PPARGC1A show reduced endurance capacity and a shift from type 1 and 2A toward type 2X and 2B muscle fibers75. Although exercise-induced mitochondrial biogenesis is inhibited in skeletal muscle Ppargc1a knock-out mice, exercise-induced type 2B-to-2A fiber shifts are not affected in the skeletal muscle of Ppargc1a knock-out mice, suggesting that exercise-induced fiber-type transformation can be independent of PPARGC1A113. Nevertheless, as discussed above, PPARGC1A overexpression has shown therapeutic benefits in the Dmdmdx mouse model for DMD. Muscle fiber type specification

Author Manuscript Author Manuscript

Skeletal muscle fiber types are first specified during embryonic development114,115. Both mammalian and zebrafish animal models have provided insight into muscle fiber specification factors. In embryonic zebrafish muscle and in developing mouse limb muscle, Hedgehog signaling promotes slow fiber identity, though perhaps using different downstream mechanisms in the two organisms115,116,117. The homeodomain transcription factor SOX6 acts in fast muscle to prevent the onset of slow-type genes, in both mammalian and zebrafish muscle114,115. The homeodomain transcription factors SIX1 and SIX4 are required during embryogenesis and into postnatal development to promote a fast muscle program and repress a slow muscle program118,119,120. A recent study demonstrated that hedgehog overexpression partially rescues the Dmdmdx mouse121, although whether muscle fiber types are altered in this Dmdmdx rescued state has not yet been addressed. Sox6 is antagonized by a microRNA, miR-499122, and zebrafish six1 is post-transcriptionally inhibited by miR-30a123. Delivery of miR-499 may be a straightforward means to increase intermediate fiber types in diseased muscle, and therapies that inhibit SIX function in muscle, such as delivery of miR-30a, would be predicted to induce a fast-to-slow fiber type shift. Taken together, these studies provide examples of how investigations of developmental fiber type specification can provide candidate factors and pathways for the potential therapeutic modulation of fiber type.

Author Manuscript

For simplicity, we have presented muscle specification and plasticity as two separate processes, but the two processes have many commonalities, including shared gene networks. For example, the developmental fast muscle specification factor SIX1, when co-expressed with its cofactor EYA1, is sufficient to reprogram adult slow muscle fibers into fast muscle fibers, indicating that SIX1 is also involved in muscle fiber-type plasticity124. The shared pathways between specification and plasticity suggest that therapies intended to convert fibers to a given fiber type may benefit muscles in two ways: by specifying newly-formed fibers to adopt a desired type, and by reprogramming existing fibers to that same desired type. Modulation of MYOD1 activity in muscle fiber type development In many cases, an additional commonality between factors involved in muscle fiber-type specification and in fiber-type plasticity is the regulation of MYOD1 activity. MYOD1 is a basic helix-loop-helix (bHLH) transcription factor, a member of the myogenic regulatory

Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 11

Author Manuscript Author Manuscript

factor (MRF) family (also including MYF5, MYF6, and myogenin); MYOD1 is necessary and sufficient for driving skeletal muscle specification and differentiation125,126. In muscle fiber-type differentiation, MYOD1 has been particularly linked with fast muscle differentiation, because in mouse muscle MYOD1 is expressed more strongly in fast fibers than in slow fibers, and because gain- and loss-of-function experiments have shown that MYOD1 promotes faster and more glycolytic fiber types127,128,129,130. However, these, and other, studies have also found that MYOD1 is involved in promoting muscle differentiation more generally, influencing both slow and fast fiber development; this indicates a nuanced relationship between MYOD1 and fiber type127,128,131. MYOD1 controls skeletal muscle differentiation through direct DNA binding and transcriptional regulation of broad gene expression programs, including transcriptional regulation of genes encoding skeletal muscle contractile proteins132–136. MYOD1’s DNA binding and transcriptional activity can be modulated, positively and negatively, by many factors126,136, including many of the factors involved in fiber-type plasticity and specification mentioned above (Figure 3).

Author Manuscript

Many recent studies have identified transcription factors that can push MYOD1 towards promoting fast or slow muscle fates. Several transcription factors have been found to stimulate fast muscle identity via MYOD1 (Figure 3A)131,137,138,139, while others cause MYOD1 to promote slow muscle fates (Figure 3B)132,140,141. Some of these factors, such as NFATC1 and FHL3, also have converse roles in repressing the ability of MYOD1 to activate fast or slow muscle genes, respectively (Figure 3C–D)110,139,142. These examples reveal how different factors can work through a variety of mechanisms to modulate MYOD1 activity and influence muscle fiber-type gene expression, for example, through binding in a protein complex with MYOD1 on DNA (PBX)131,137, through inhibiting MYOD1 activity (NFATC1)110, or through binding DNA in parallel with MYOD1 and synergizing with MYOD1 activity (EBF3)138. In addition to the examples illustrated in Figure 3, there are many other fiber-type factors that likely interact with MYOD1 to modulate its activity in regulating fiber-type differentiation. For example, SIX1 and SIX4 proteins, which promote fast muscle development, directly bind many MYOD1 targets, including fast muscle differentiation genes120,143,144. In Figure 3, we have presented MYOD1 regulators separately, and, in most cases, acting at distinct target genes. It will be important to determine how these different regulators converge to modulate MYOD1, not only at specific target genes but also in broader fiber-type gene expression programs. Because MYOD1 appears to be a central nexus controlling both slow and fast fiber-type differentiation, understanding MYOD1 regulation may provide insight into how to manipulate muscle fibers toward specific slow or fast identities.

Author Manuscript

Conclusion Muscle diseases often affect particular muscle fiber types more strongly than others, indicating that different muscle diseases result not from generic muscle degeneration, but from specific defects in diseased tissue. Although we can describe which muscle fibers are most affected by a particular disease, in most cases we can't explain why certain fiber types are particularly susceptible to individual diseases. In a few cases, we can make clear

Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 12

Author Manuscript

connections; for instance, MHY7 and MYH2 are specific markers of type 1 and type 2A muscle fibers, respectively, and humans carrying mutations in these myosins have particular loss of type 1, or type 2A, muscle fibers. We expect that continued efforts to understand the fiber-type-specific effects of muscle disorders will provide important insights into fiber-type specific degeneration found in other muscle diseases. For both genetic and acquired muscle disorders, improved classifications of patients’ skeletal muscle fiber defects in relation to their other phenotypes should lead to improvements in diagnosis, in the ability to predict patients’ responses to interventions, and in our understanding of disease mechanisms. Taken together, the studies reviewed here highlight the impact of muscle fiber-type-related phenotypes in muscle diseases.

Author Manuscript Author Manuscript

Although it is well known that muscle diseases often affect particular fiber types, it remains unclear which characteristics of muscle fiber type contribute to the susceptibility and resistance of certain fiber types to muscle disease. Individual fiber types may be affected in diseases because of factors intrinsic to that fiber type's structural integrity, interaction with other cell types, or developmental effects. We are still discovering the developmental pathways that control fiber-type specification and influence fiber-type plasticity, and current approaches using animal models and muscle cell culture models can continue to help with these efforts. Since fiber-type identity is controlled by many factors, including unknown factors, we encourage the increased use of transcriptome analyses when studying altered fiber-type, such as in the studies by Quiat et al.145 and Yao et al.146. For example, quantitative RT-PCR studies in Ebf3 and Nfatc1 mutant mouse muscle was useful in demonstrating fiber-type-specific effects in these mutants110,138, but RNA-seq could provide even broader insight into the fiber-type gene expression programs affected in these mouse models. We would also encourage increased use of the zebrafish animal model for muscle fiber-type studies. Zebrafish can provide a system for gaining increased animal numbers for the studies of double or even quadruple genetic mutants, which can allow insight into the interactions of factors involved in fiber-type identities. In addition to being an excellent model for muscle development, zebrafish provide excellent models of human muscle diseases147,148, but zebrafish have not yet been utilized to understand the roles of muscle fiber type in specific muscle diseases. For instance, using zebrafish, muscle diseases could be investigated in living embryos that transgenically mark muscle fiber types during degeneration. With genome editing technologies such as the CRISPR-Cas system, along with its other advantages, the zebrafish system is well positioned to help address not only the functional interactions between fiber-type-identity factors, but also the relationships between fiber types and muscle diseases.

Author Manuscript

Acknowledgments Jared Talbot’s work is supported by NIH R01GM88041, NINDS T32 NS077984 and a Pelotonia Fellowship. Funding for work on skeletal muscle disease in the Maves lab comes from the Seattle Children’s Research Institute Myocardial Regeneration Initiative and the NIH (R03AR065760). The muscle histology shown in Figure 1A is very kindly provided by Dr. Zarife Sahenk, of Nationwide Children's Hospital's Neuromuscular Laboratory.

References 1. Schiaffino S, Reggiani C. Fiber types in mammalian skeletal muscles. Physiol Rev. 2011; 91(4): 1447–1531. [PubMed: 22013216] Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 13

Author Manuscript Author Manuscript Author Manuscript Author Manuscript

2. Bassel-Duby R, Olson EN. Signaling pathways in skeletal muscle remodeling. Annu Rev Biochem. 2006; 75:19–37. [PubMed: 16756483] 3. Pette D, Staron RS. Myosin isoforms, muscle fiber types, and transitions. Microsc Res Tech. 2000; 50(6):500–509. [PubMed: 10998639] 4. Hernandez LP, Patterson SE, Devoto SH. The development of muscle fiber type identity in zebrafish cranial muscles. Anat Embryol (Berl). 2005; 209(4):323–334. [PubMed: 15761723] 5. Guth L, Samaha FJ. Qualitative differences between actomyosin ATPase of slow and fast mammalian muscle. Exp Neurol. 1969; 25(1):138–152. [PubMed: 4241609] 6. van Raamsdonk W, Tekronnie G, Pool CW, van de Laarse W. An immune histochemical and enzymatic characterization of the muscle fibres in myotomal muscle of the teleost Brachydanio rerio, Hamilton-Buchanan. Acta Histochem. 1980; 67(2):200–216. [PubMed: 6452016] 7. Kuffler SW, Williams EM. Small-nerve junctional potentials. The distribution of small motor nerves to frog skeletal muscle, and the membrane characteristics of the fibres they innervate. J Physiol. 1953; 121(2):289–317. [PubMed: 13085337] 8. Salmons S, Vrbova G. The influence of activity on some contractile characteristics of mammalian fast and slow muscles. J Physiol. 1969; 201(3):535–549. [PubMed: 5767881] 9. Luna VM, Daikoku E, Ono F. “Slow” skeletal muscles across vertebrate species. Cell Biosci. 2015; 5(1) 10. von Hofsten J, Elworthy S, Gilchrist MJ, Smith JC, Wardle FC, Ingham PW. Prdm1- and Sox6mediated transcriptional repression specifies muscle fibre type in the zebrafish embryo. EMBO Rep. 2008; 9(7):683–689. [PubMed: 18535625] 11. Gahlmann R, Wade R, Gunning P, Kedes L. Differential expression of slow and fast skeletal muscle troponin C Slow skeletal muscle troponin C is expressed in human fibroblasts. J Mol Biol. 1988; 201(2):379–391. [PubMed: 3166492] 12. Tajsharghi H. Thick and thin filament gene mutations in striated muscle diseases. Int J Mol Sci. 2008; 9(7):1259–1275. [PubMed: 19325803] 13. Garcia de la Serrana D, Estévez A, Andree K, Johnston IA. Fast skeletal muscle transcriptome of the Gilthead sea bream (Sparus aurata) determined by next generation sequencing. BMC Genomics. 2012; 13:181. [PubMed: 22577894] 14. Ma J, Wang H, Liu R, Jin L, Tang Q, Wang X, Jiang A, Hu Y, Li Z, Zhu L, et al. The miRNA transcriptome directly reflects the physiological and biochemical differences between red, white, and intermediate muscle fiber types. Int J Mol Sci. 2015; 16(5):9635–9653. [PubMed: 25938964] 15. Zhu J, Shi X, Lu H, Xia B, Li Y, Li X, Zhang Q, Yang G. RNA-seq transcriptome analysis of extensor digitorum longus and soleus muscles in large white pigs. Mol Genet Genomics. 2015 ePub ahead of print. 16. Liu Y, Li M, Ma J, Zhang J, Zhou C, Wang T, Gao X, Li X. Identification of differences in microRNA transcriptomes between porcine oxidative and glycolytic skeletal muscles. BMC Mol Biol. 2013; 14(1):7. [PubMed: 23419046] 17. Muroya S, Taniguchi M, Shibata M, Oe M, Ojima K, Nakajima I, Chikuni K. Profiling of differentially expressed microRNA and the bioinformatic target gene analyses in bovine fast-and slow-type muscles by massively parallel sequencing. J Anim Sci. 2013; 91(1):90–103. [PubMed: 23100578] 18. Johnson MA, Polgar J, Weightman D, Appleton D. Data on the distribution of fibre types in thirtysix human muscles. An autopsy study. J Neurol Sci. 1973; 18(1):111–129. [PubMed: 4120482] 19. Bushby K, Finkel R, Birnkrant DJ, Case LE, Clemens PR, Cripe L, Kaul A, Kinnett K, McDonald C, Pandya S, et al. Diagnosis and management of Duchenne muscular dystrophy, part 1: diagnosis, and pharmacological and psychosocial management. Lancet Neurol. 2010; 9(1):77–93. [PubMed: 19945913] 20. Webster C, Silberstein L, Hays AP, Blau HM. Fast muscle fibers are preferentially affected in Duchenne muscular dystrophy. Cell. 1988; 52(4):503–513. [PubMed: 3342447] 21. Marini JF, Pons F, Leger J, Loffreda N, Anoal M, Chevallay M, Fardeau M, Leger JJ. Expression of myosin heavy chain isoforms in Duchenne muscular dystrophy patients and carriers. Neuromuscul Disord. 1991; 1(6):397–409. [PubMed: 1822352]

Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 14

Author Manuscript Author Manuscript Author Manuscript Author Manuscript

22. Pedemonte M, Sandri C, Schiaffino S, Minetti C. Early decrease of IIx myosin heavy chain transcripts in duchenne muscular dystrophy. Biochem Biophys Res Commun. 1999; 255(2):466– 469. [PubMed: 10049732] 23. Head SI, Williams DA, Stephenson DG. Abnormalities in the structure and function of limb skeletal muscle fibres of dystrophic mdx mice. Proc R Soc B Biol Sci. 1992; 248(1322):163–169. 24. Moens P, Baatsen PH, Maréchal G. Increased susceptibility of EDL muscles from mdx mice to damage induced by contractions with stretch. J Muscle Res Cell Motil. 1993; 14(4):446–451. [PubMed: 7693747] 25. Petrof BJ, Stedman HH, Shrager JB, Eby J, Sweeney HL, Kelly AM. Adaptations in myosin heavy chain expression and contractile function in dystrophic mouse diaphragm. Am J Physiol. 1993; 265(3 Pt 1):C384–C341. 26. Yuasa K, Nakamura A, Hijikata T, Takeda S. Dystrophin deficiency in canine X-linked muscular dystrophy in Japan (CXMDJ) alters myosin heavy chain expression profiles in the diaphragm more markedly than in the tibialis cranialis muscle. BMC Musculoskelet Disord. 2008; 9(1):1. [PubMed: 18182116] 27. Tawil R, van der Maarel SM, Tapscott SJ. Facioscapulohumeral dystrophy: the path to consensus on pathophysiology. Skelet Muscle. 2014; 4:12. [PubMed: 24940479] 28. Lassche S, Stienen GJ, Irving TC, van der Maarel SM, Voermans NC, Padberg GW, Granzier H, van Engelen BG, Ottenheijm CA. Sarcomeric dysfunction contributes to muscle weakness in facioscapulohumeral muscular dystrophy. Neurology. 2013; 80(8):733–737. [PubMed: 23365058] 29. Celegato B, Capitanio D, Pescatori M, Romualdi C, Pacchioni B, Cagnin S, Viganò A, Colantoni L, Begum S, Ricci E, et al. Parallel protein and transcript profiles of FSHD patient muscles correlate to the D4Z4 arrangement and reveal a common impairment of slow to fast fibre differentiation and a general deregulation of MyoD-dependent genes. Proteomics. 2006; 6(19): 5303–5321. [PubMed: 17013991] 30. Meola G. Clinical aspects, molecular pathomechanisms and management of myotonic dystrophies. Acta Myol. 2013; 32(3):154. [PubMed: 24803843] 31. Vihola A, Bassez G, Meola G, Zhang S, Haapasalo H, Paetau A, et al. Histopathological differences of myotonic dystrophy type 1 (DM1) and PROM/DM2. Neurology. 2003; 60(11): 1854–1857. [PubMed: 12796551] 32. Pisani V, Panico MB, Terracciano C, Bonifazi E, Meola G, Novelli G, Bernardi G, Angelini C, Massa R. Preferential central nucleation of type 2 myofibers is an invariable feature of myotonic dystrophy type 2. Muscle Nerve. 2008; 38(5):1405–1411. [PubMed: 18816606] 33. Krivickas LS, Ansved T, Suh D, Frontera WR. Contractile properties of single muscle fibers in myotonic dystrophy. Muscle Nerve. 2000; 23(4):529–537. [PubMed: 10716763] 34. Clarke NF. Congenital Fiber-Type Disproportion. Semin Pediatr Neurol. 2011; 18(4):264–271. [PubMed: 22172422] 35. Marttila M, Lehtokari VL, Marston S, Nyman TA, Barnerias C, Beggs AH, Bertini E, CeyhanBirsoy O, Cintas P, Gerard M, et al. Mutation update and genotype-phenotype correlations of novel and previously described mutations in TPM2 and TPM3 causing congenital myopathies. Hum Mutat. 2014; 35(7):779–790. [PubMed: 24692096] 36. Kajino S, Ishihara K, Goto K, Ishigaki K, Noguchi S, Nonaka I, Osawa M, Nishino I, Hayashi YK. Congenital fiber type disproportion myopathy caused by LMNA mutations. J Neurol Sci. 2014; 340(1–2):94–98. [PubMed: 24642510] 37. Tajsharghi H, Oldfors A. Myosinopathies: pathology and mechanisms. Acta Neuropathol (Berl). 2013; 125(1):3–18. [PubMed: 22918376] 38. Tajsharghi H, Hammans S, Lindberg C, Lossos A, Clarke NF, Mazanti I, Waddell LB, Fellig Y, Foulds N, Katifi H, et al. Recessive myosin myopathy with external ophthalmoplegia associated with MYH2 mutations. Eur J Hum Genet. 2014; 22:801–808. [PubMed: 24193343] 39. Lim J-A, Li L, Raben N. Pompe disease: from pathophysiology to therapy and back again. Front Aging Neurosci. 2014; 6:177. [PubMed: 25183957] 40. Fukuda T, Roberts A, Ahearn M, Zaal K, Ralston E, Plotz PH, Raben N. Autophagy and lysosomes in Pompe disease. Autophagy. 2006; 2(4):318–320. [PubMed: 16874053]

Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 15

Author Manuscript Author Manuscript Author Manuscript Author Manuscript

41. Raben N, Hill V, Shea L, Takikita S, Baum R, Mizushima N, Ralston E, Plotz P. Suppression of autophagy in skeletal muscle uncovers the accumulation of ubiquitinated proteins and their potential role in muscle damage in Pompe disease. Hum Mol Genet. 2008; 17(24):3897–3908. [PubMed: 18782848] 42. van den Berg LE, Drost MR, Schaart G, de Laat J, van Doorn PA, van der Ploeg AT, Reuser AJ. Muscle fiber-type distribution, fiber-type-specific damage, and the Pompe disease phenotype. J Inherit Metab Dis. 2013; 36(5):787–794. [PubMed: 23053471] 43. Raben N, Fukuda T, Gilbert AL, de Jong D, Thurberg BL, Mattaliano RJ, Meikle P, Hopwood JJ, Nagashima K, Nagaraju K, et al. Replacing acid alpha-glucosidase in Pompe disease: recombinant and transgenic enzymes are equipotent, but neither completely clears glycogen from type II muscle fibers. Mol Ther. 2005; 11(1):48–56. [PubMed: 15585405] 44. Takikita S, Schreiner C, Baum R, Xie T, Ralston E, Plotz PH, Raben N. Fiber type conversion by PGC-1alpha activates lysosomal and autophagosomal biogenesis in both unaffected and Pompe skeletal muscle. PLoS ONE. 2010; 5(12):e15239. [PubMed: 21179212] 45. Biering-Sørensen B, Kristensen IB, Kjaer M, Biering-Sørensen F. Muscle after spinal cord injury. Muscle Nerve. 2009 Oct; 40(4):499–519. [PubMed: 19705475] 46. Ciciliot S, Rossi AC, Dyar KA, Blaauw B, Schiaffino S. Muscle type and fiber type specificity in muscle wasting. Int J Biochem Cell Biol. 2013; 45(10):2191–2199. [PubMed: 23702032] 47. Hickey MS, Carey JO, Azevedo JL, Houmard JA, Pories WJ, Israel RG, Dohm GL. Skeletal muscle fiber composition is related to adiposity and in vitro glucose transport rate in humans. Am J Physiol-Endocrinol Metab. 1995; 268(3):E453–E457. 48. Tanner CJ, Barakat HA, Dohm GL, Pories WJ, MacDonald KG, Cunningham PR, Swanson MS, Houmard JA. Muscle fiber type is associated with obesity and weight loss. Am J Physiol Endocrinol Metab. 2002; 282(6):E1191–E1196. [PubMed: 12006347] 49. Oberbach A, Bossenz Y, Lehmann S, Niebauer J, Adams V, Paschke R, Schön MR, Blüher M, Punkt K. Altered fiber distribution and fiber-specific glycolytic and oxidative enzyme activity in skeletal muscle of patients with type 2 diabetes. Diabetes Care. 2006; 29(4):895–900. [PubMed: 16567834] 50. Gaster M, Staehr P, Beck-Nielsen H, Schrøder HD, Handberg A. GLUT4 is reduced in slow muscle fibers of type 2 diabetic patients: is insulin resistance in type 2 diabetes a slow, type 1 fiber disease? Diabetes. 2001; 50(6):1324–1329. [PubMed: 11375332] 51. Wade AJ, Marbut MM, Round JM. Muscle fibre type and aetiology of obesity. The Lancet. 1990; 335:805–808. 52. Stuart CA, McCurry MP, Marino A, South MA, Howell ME, Layne AS, Ramsey MW, Stone MH. Slow-twitch fiber proportion in skeletal muscle correlates with insulin responsiveness. J Clin Endocrinol Metab. 2013; 98(5):2027–2036. [PubMed: 23515448] 53. Mootha VK, Lindgren CM, Eriksson KF, Subramanian A, Sihag S, Lehar J, Puigserver P, Carlsson E, Ridderstråle M, Laurila E, et al. PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes. Nat Genet. 2003; 34(3):267– 273. [PubMed: 12808457] 54. Patti ME, Butte AJ, Crunkhorn S, Cusi K, Berria R, Kashyap S, Miyazaki Y, Kohane I, Costello M, Saccone R, et al. Coordinated reduction of genes of oxidative metabolism in humans with insulin resistance and diabetes: Potential role of PGC1 and NRF1. Proc Natl Acad Sci U S A. 2003; 100(14):8466–8471. [PubMed: 12832613] 55. He J, Watkins S, Kelley DE. Skeletal muscle lipid content and oxidative enzyme activity in relation to muscle fiber type in type 2 diabetes and obesity. Diabetes. 2001; 50(4):817–823. [PubMed: 11289047] 56. Grimby G, Broberg C, Krotkiewska I, Krotkiewski M. Muscle fiber composition in patients with traumatic cord lesion. Scand J Rehabil Med. 1976; 8(1):37–42. [PubMed: 132700] 57. Burnham R, Martin T, Stein R, Bell G, Maclean I, Steadward R. Skeletal muscle fibre type transformation following spinal cord injury. Spinal Cord. 1997; 35(2):86–91. [PubMed: 9044514] 58. Gallagher P, Trappe S, Harber M, Creer A, Mazzetti S, Trappe T, Alkner B, Tesch P. Effects of 84days of bedrest and resistance training on single muscle fibre myosin heavy chain distribution in

Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 16

Author Manuscript Author Manuscript Author Manuscript Author Manuscript

human vastus lateralis and soleus muscles. Acta Physiol Scand. 2005; 185(1):61–69. [PubMed: 16128698] 59. Trappe S, Creer A, Slivka D, Minchev K, Trappe T. Single muscle fiber function with concurrent exercise or nutrition countermeasures during 60 days of bed rest in women. J Appl Physiol. 2007; 103(4):1242–1250. [PubMed: 17641219] 60. Ditor DS, Hamilton S, Tarnopolsky MA, Green HJ, Craven BC, Parise G, Hicks AL. Na+,K+ATPase concentration and fiber type distribution after spinal cord injury. Muscle Nerve. 2004; 29(1):38–45. [PubMed: 14694496] 61. Lexell J. Human aging, muscle mass, and fiber type composition. J Gerontol A Biol Sci Med Sci. 1995; 50(Special Issue):11–16. [PubMed: 7493202] 62. Nilwik R, Snijders T, Leenders M, Groen BB, van Kranenburg J, Verdijk LB, van Loon LJ. The decline in skeletal muscle mass with aging is mainly attributed to a reduction in type II muscle fiber size. Exp Gerontol. 2013; 48(5):492–498. [PubMed: 23425621] 63. Klitgaard H, Zhou M, Schiaffino S, Betto R, Salviati G, Saltin B. Ageing alters the myosin heavy chain composition of single fibres from human skeletal muscle. Acta Physiol Scand. 1990; 140(1): 55–62. [PubMed: 2275405] 64. Short KR. Changes in myosin heavy chain mRNA and protein expression in human skeletal muscle with age and endurance exercise training. J Appl Physiol. 2005; 99(1):95–102. [PubMed: 15746299] 65. Russell AP, Feilchenfeldt J, Schreiber S, Praz M, Crettenand A, Gobelet C, Meier CA, Bell DR, Kralli A, Giacobino JP, et al. Endurance training in humans leads to fiber type-specific increases in levels of peroxisome proliferator-activated receptor-gamma coactivator-1 and peroxisome proliferator-activated receptor-alpha in skeletal muscle. Diabetes. 2003; 52(12):2874–2881. [PubMed: 14633846] 66. Krämer DK, Ahlsén M, Norrbom J, Jansson E, Hjeltnes N, Gustafsson T, et al. Human skeletal muscle fibre type variations correlate with PPAR alpha, PPAR delta and PGC-1 alpha mRNA. Acta Physiol. 2006; 188(3–4):207–216. 67. Lin J, Wu H, Tarr PT, Zhang CY, Wu Z, Boss O, et al. Transcriptional co-activator PGC-1 alpha drives the formation of slow-twitch muscle fibres. Nature. 188(6899):207–216. 68. Sandri M, Lin J, Handschin C, Yang W, Arany ZP, Lecker SH, et al. PGC-1alpha protects skeletal muscle from atrophy by suppressing FoxO3 action and atrophy-specific gene transcription. Proc Natl Acad Sci U S A. 2006; 103(44):16260–16265. [PubMed: 17053067] 69. Gosker HR, Wouters EF, van der Vusse GJ, Schols AM. Skeletal muscle dysfunction in chronic obstructive pulmonary disease and chronic heart failure: underlying mechanisms and therapy perspectives. Am J Clin Nutr. 2000; 71(5):1033–1047. [PubMed: 10799364] 70. Remels AH, Gosker HR, Langen RC, Schols AM. The mechanisms of cachexia underlying muscle dysfunction in COPD. J Appl Physiol. 2013; 114(9):1253–1262. [PubMed: 23019314] 71. Gosker HR, Zeegers MP, Wouters EF, Schols AM. Muscle fibre type shifting in the vastus lateralis of patients with COPD is associated with disease severity: a systematic review and meta-analysis. Thorax. 2007; 62(11):944–949. [PubMed: 17526675] 72. Gouzi F, Abdellaoui A, Molinari N, Pinot E, Ayoub B, Laoudj-Chenivesse D, Cristol JP, Mercier J, Hayot M, Préfaut C. Fiber atrophy, oxidative stress, and oxidative fiber reduction are the attributes of different phenotypes in chronic obstructive pulmonary disease patients. J Appl Physiol. 2013; 115(12):1796–1805. [PubMed: 24136107] 73. Ljubicic V, Burt M, Jasmin BJ. The therapeutic potential of skeletal muscle plasticity in Duchenne muscular dystrophy: phenotypic modifiers as pharmacologic targets. FASEB J. 2014; 28(2):548– 568. [PubMed: 24249639] 74. Chan MC, Arany Z. The many roles of PGC-1alpha in muscle — recent developments. Metabolism. 2014; 63(4):441–451. [PubMed: 24559845] 75. Handschin C, Kobayashi YM, Chin S, Seale P, Campbell KP, Spiegelman BM. PGC-1alpha regulates the neuromuscular junction program and ameliorates Duchenne muscular dystrophy. Genes Dev. 2007; 21(7):770–783. [PubMed: 17403779]

Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 17

Author Manuscript Author Manuscript Author Manuscript Author Manuscript

76. Gramolini AO, Bélanger G, Thompson JM, Chakkalakal JV, Jasmin BJ. Increased expression of utrophin in a slow vs. a fast muscle involves posttranscriptional events. Am J Physiol-Cell Physiol. 2001; 281(4):C1300–C1309. [PubMed: 11546668] 77. Hirst RC, McCullagh KJ, Davies KE. Utrophin upregulation in Duchenne muscular dystrophy. Acta Myol. 2005; 24(3):209–216. [PubMed: 16629055] 78. Miura P, Jasmin BJ. Utrophin upregulation for treating Duchenne or Becker muscular dystrophy: how close are we? Trends Mol Med. 2006; 12(3):122–129. [PubMed: 16443393] 79. Guiraud S, Squire SE, Edwards B, Chen H, Burns DT, Shah N, Babbs A, Davies SG, Wynne GM, Russell AJ, et al. Second-generation compound for the modulation of Utrophin in the therapy of DMD. Hum Mol Genet. 2015 Aug 1; 24(15):4212–4224. [PubMed: 25935002] 80. Chan MC, Rowe GC, Raghuram S, Patten IS, Farrell C, Arany Z. Post-natal induction of PGC-1alpha protects against severe muscle dystrophy independently of utrophin. Skelet Muscle. 2014; 4(1):2. [PubMed: 24447845] 81. Deconinck AE, Rafael JA, Skinner JA, Brown SC, Potter AC, Metzinger L, Watt DJ, Dickson JG, Tinsley JM, Davies KE. Utrophin-dystrophin-deficient mice as a model for Duchenne muscular dystrophy. Cell. 1997; 90:717–727. [PubMed: 9288751] 82. Grady RM, Teng H, Nichol MC, Cunningham JC, Wilkinson RS, Sanes JR. Skeletal and cardiac myopathies in mice lacking utrophin and dystrophin: a model for Duchenne muscular dystrophy. Cell. 1997; 90:729–738. [PubMed: 9288752] 83. Al-Rewashdy H, Ljubicic V, Lin W, Renaud JM, Jasmin BJ. Utrophin A is essential in mediating the functional adaptations of mdx mouse muscle following chronic AMPK activation. Hum Mol Genet. 2015; 24(5):1243–1255. [PubMed: 25324540] 84. Ljubicic V, Miura P, Burt M, Boudreault L, Khogali S, Lunde JA, et al. Chronic AMPK activation evokes the slow, oxidative myogenic program and triggers beneficial adaptations in mdx mouse skeletal muscle. Hum Mol Genet. 2011; 20(17):3478–3493. [PubMed: 21659335] 85. Jahnke VE, Van Der Meulen JH, Johnston HK, Ghimbovschi S, Partridge T, Hoffman EP, Nagaraju K. Metabolic remodeling agents show beneficial effects in the dystrophin-deficient mdx mouse model. Skelet Muscle. 2012; 2(1):16. [PubMed: 22908954] 86. Pauly M, Daussin F, Burelle Y, Li T, Godin R, Fauconnier J, Koechlin-Ramonatxo C, Hugon G, Lacampagne A, Coisy-Quivy M, et al. AMPK activation stimulates autophagy and ameliorates muscular dystrophy in the mdx mouse diaphragm. Am J Pathol. 2012; 181(2):583–592. [PubMed: 22683340] 87. Hollinger K, Gardan-Salmon D, Santana C, Rice D, Snella E, Selsby JT. Rescue of dystrophic skeletal muscle by PGC-1alpha involves restored expression of dystrophin-associated protein complex components and satellite cell signaling. Am J Physiol Regul Integr Comp Physiol. 2013; 305(1):R13–R23. [PubMed: 23594613] 88. Larsson L, Biral D, Campione M, Schiaffino S. An age-related type IIB to IIX myosin heavy chain switching in rat skeletal muscle. Acta Physiol Scand. 1993; 147(2):227–234. [PubMed: 8475750] 89. Riera CE, Dillin A. Tipping the metabolic scales towards increased longevity in mammals. Nat Cell Biol. 2015; 17(3):196–203. [PubMed: 25720959] 90. Akasaki Y, Ouchi N, Izumiya Y, Bernardo BL, Lebrasseur NK, Walsh K. Glycolytic fast-twitch muscle fiber restoration counters adverse age-related changes in body composition and metabolism. Aging Cell. 2014; 13(1):80–91. [PubMed: 24033924] 91. Wenz T, Rossi SG, Rotundo RL, Spiegelman BM, Moraes CT. Increased muscle PGC-1alpha expression protects from sarcopenia and metabolic disease during aging. Proc Natl Acad Sci U S A. 2009; 106(48):20405–20410. [PubMed: 19918075] 92. Dillon LM, Williams SL, Hida A, Peacock JD, Prolla TA, Lincoln J, Moraes CT. Increased mitochondrial biogenesis in muscle improves aging phenotypes in the mtDNA mutator mouse. Hum Mol Genet. 2012 May 15; 21(10):2288–2297. [PubMed: 22357654] 93. Bodine SC, Stitt TN, Gonzalez M, Kline WO, Stover GL, Bauerlein R, Zlotchenko E, Scrimgeour A, Lawrence JC, Glass DJ, et al. Akt/mTOR pathway is a crucial regulator of skeletal muscle hypertrophy and can prevent muscle atrophy in vivo. Nat Cell Biol. 2001; 3(11):1014–1019. [PubMed: 11715023]

Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 18

Author Manuscript Author Manuscript Author Manuscript Author Manuscript

94. Rommel C, Bodine SC, Clarke BA, Rossman R, Nunez L, Stitt TN, Yancopoulos GD, Glass DJ. Mediation of IGF-1-induced skeletal myotube hypertrophy by PI(3)K/Akt/mTOR and PI(3)K/Akt/ GSK3 pathways. Nat Cell Biol. 2001; 3(11):1009–1013. [PubMed: 11715022] 95. Sandri M, Sandri C, Gilbert A, Skurk C, Calabria E, Picard A, Walsh K, Schiaffino S, Lecker SH, Goldberg AL. Foxo transcription factors induce the atrophy-related ubiquitin ligase atrogin-1 and cause skeletal muscle atrophy. Cell. 2004; 117(3):399–412. [PubMed: 15109499] 96. Izumiya Y, Hopkins T, Morris C, Sato K, Zeng L, Viereck J, Hamilton JA, Ouchi N, LeBrasseur NK, Walsh K. Fast/glycolytic muscle fiber growth reduces fat mass and improves metabolic parameters in obese mice. Cell Metab. 2008; 7(2):159–172. [PubMed: 18249175] 97. Gundersen K. Excitation-transcription coupling in skeletal muscle: the molecular pathways of exercise. Biol Rev. 2011; 86(3):564–600. [PubMed: 21040371] 98. Buller AJ, Eccles JC, Eccles RM. Interactions between motoneurones and muscles in respect of the characteristic speeds of their responses. J Physiol. 1960; 150:417–439. [PubMed: 13805874] 99. Blaauw B, Schiaffino S, Reggiani C. Mechanisms modulating skeletal muscle phenotype. Compr Physiol. 2013; 3(4):1645–1687. [PubMed: 24265241] 100. Gollnick PD, Armstrong RB, Saubert CW 4th, Piehl K, Saltin B. Enzyme activity and fiber composition in skeletal muscle of untrained and trained men. J Appl Physiol. 1972; 33(3):312– 319. [PubMed: 4403464] 101. Costill DL, Daniels J, Evans W, Fink W, Krahenbuhl G, Saltin B. Skeletal muscle enzymes and fiber composition in male and female track athletes. J Appl Physiol. 1976; 40(2):149–154. [PubMed: 129449] 102. Jansson E, Sjödin B, Tesch P. Changes in muscle fibre type distribution in man after physical training. A sign of fibre type transformation? Acta Physiol Scand. 1978; 104(2):235–237. [PubMed: 716974] 103. Esbjörnsson M, Hellsten-Westing Y, Balsom PD, Sjödin B, Jansson E. Muscle fibre type changes with spring training: effect of training pattern. Acta Physiol Scand. 1993; 149(2):245–246. [PubMed: 8266814] 104. Andersen JL, Klitgaard H, Saltin B. Myosin heavy chain isoforms in single fibres from m. vastus lateralis of sprinters: influence of training. Acta Physiol Scand. 1994; 151(2):135–142. [PubMed: 7942047] 105. Liu Y, Schlumberger A, Wirth K, Schmidtbleicher D, Steinacker JM. Different effects on human skeletal myosin heavy chain isoform expression: strength vs. combination training. J Appl Physiol. 2003; 94(6):2282–2288. [PubMed: 12736190] 106. Luden N, Hayes E, Minchev K, Louis E, Raue U, Conley T, Trappe S. Skeletal muscle plasticity with marathon training in novice runners. Scand J Med Sci Sports. 2012; 22(5):662–670. [PubMed: 21477203] 107. Wilson JM, Loenneke JP, Jo E, Wilson GJ, Zourdos MC, Kim JS. The effects of endurance, strength, and power training on muscle fiber type shifting. J Strength Cond Res. 2012; 26(6): 1724–1729. [PubMed: 21912291] 108. Chin ER, Olson EN, Richardson JA, Yang Q, Humphries C, Shelton JM, Wu H, Zhu W, BasselDuby R, Williams RS. A calcineurin-dependent transcriptional pathway controls skeletal muscle fiber type. Genes Dev. 1998; 12(16):2499–2509. [PubMed: 9716403] 109. Calabria E1, Ciciliot S, Moretti I, Garcia M, Picard A, Dyar KA, Pallafacchina G, Tothova J, Schiaffino S, Murgia M. NFAT isoforms control activity-dependent muscle fiber type specification. Proc Natl Acad Sci U S A. 2009; 106(32):13335–13340. [PubMed: 19633193] 110. Ehlers ML, Celona B, Black BL. NFATc1 controls skeletal muscle fiber type and is a negative regulator of MyoD activity. Cell Rep. 2014; 8(6):1639–1648. [PubMed: 25242327] 111. Röckl KS, Hirshman MF, Brandauer J, Fujii N, Witters LA, Goodyear LJ. Skeletal muscle adaptation to exercise training: AMP-activated protein kinase mediates muscle fiber type shift. Diabetes. 2007; 56(8):2062–2069. [PubMed: 17513699] 112. Jäger S, Handschin C, Pierre JS, Spiegelman BM. AMP-activated protein kinase (AMPK) action in skeletal muscle via direct phosphorylation of PGC-1α. Proc Natl Acad Sci U S A. 2007; 104(29):12017–12022. [PubMed: 17609368]

Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 19

Author Manuscript Author Manuscript Author Manuscript Author Manuscript

113. Geng T, Li P, Okutsu M, Yin X, Kwek J, Zhang M, Yan Z. PGC-1alpha plays a functional role in exercise-induced mitochondrial biogenesis and angiogenesis but not fiber-type transformation in mouse skeletal muscle. AJP Cell Physiol. 2010; 298(3):C572–C579. 114. Rossi G, Messina G. Comparative myogenesis in teleosts and mammals. Cell Mol Life Sci. 2014; 71(16):3081–3099. [PubMed: 24664432] 115. Jackson HE, Ingham PW. Control of muscle fibre-type diversity during embryonic development: The zebrafish paradigm. Mech Dev. 2013; 130(9–10):447–457. [PubMed: 23811405] 116. Hu JK-H, McGlinn E, Harfe BD, Kardon G, Tabin CJ. Autonomous and nonautonomous roles of Hedgehog signaling in regulating limb muscle formation. Genes Dev. 2012; 26(18):2088–2102. [PubMed: 22987639] 117. Vincent SD, Mayeuf A, Niro C, Saitou M, Buckingham M. Non conservation of function for the evolutionarily conserved prdm1 protein in the control of the slow twitch myogenic program in the mouse embryo. Mol Biol Evol. 2012; 29(10):3181–3191. [PubMed: 22522309] 118. Wu W1, Ren Z, Li P, Yu D, Chen J, Huang R, Liu H. Six1: a critical transcription factor in tumorigenesis. Int J Cancer. 2014; 136(6):1245–1253. [PubMed: 24488862] 119. Sakakibara I, Santolini M, Ferry A, Hakim V, Maire P. Six homeoproteins and a linc-RNA at the fast MYH locus lock fast myofiber terminal phenotype. PLoS Genet. 2014; 10(5):e1004386. [PubMed: 24852826] 120. Niro C, Demignon J, Vincent S, Liu Y, Giordani J, Sgarioto N, Favier M, Guillet-Deniau I, Blais A, Maire P. Six1 and Six4 gene expression is necessary to activate the fast-type muscle gene program in the mouse primary myotome. Dev Biol. 2010; 338(2):168–182. [PubMed: 19962975] 121. Piccioni A, Gaetani E, Palladino M, Gatto I, Smith RC, Neri V, Marcantoni M, Giarretta I, Silver M, Straino S, et al. Sonic hedgehog gene therapy increases the ability of the dystrophic skeletal muscle to regenerate after injury. Gene Ther. 2014; 21(4):413–421. [PubMed: 24572787] 122. van Rooij E, Quiat D, Johnson BA, Sutherland LB, Qi X, Richardson JA, Kelm RJ Jr, Olson EN. A family of microRNAs encoded by myosin genes governs myosin expression and muscle performance. Dev Cell. 2009; 17(5):662–673. [PubMed: 19922871] 123. O’Brien JH, Hernandez-Lagunas L, Artinger KB, Ford HL. MicroRNA-30a regulates zebrafish myogenesis through targeting the transcription factor Six1. J Cell Sci. 2014; 127(10):2291–2301. [PubMed: 24634509] 124. Grifone R, Laclef C, Spitz F, Lopez S, Demignon J, Guidotti JE, Kawakami K, Xu PX, Kelly R, Petrof BJ, et al. Six1 and Eya1 expression can reprogram adult muscle from the slow-twitch phenotype into the fast-twitch phenotype. Mol Cell Biol. 2004; 24(14):6253–6267. [PubMed: 15226428] 125. Tapscott SJ. The circuitry of a master switch: Myod and the regulation of skeletal muscle gene transcription. Development. 2005; 132(12):2685–2695. [PubMed: 15930108] 126. Berkes CA, Tapscott SJ. MyoD and the transcriptional control of myogenesis. Semin Cell Dev Biol. 2005; 16(4–5):585–595. [PubMed: 16099183] 127. Hughes SM, Koishi K, Rudnicki M, Maggs AM. MyoD protein is differentially accumulated in fast and slow skeletal muscle fibres and required for normal fibre type balance in rodents. Mech Dev. 1997; 61(1–2):151–163. [PubMed: 9076685] 128. Seward DJ, Haney JC, Rudnicki MA, Swoap SJ. bHLH transcription factor MyoD affects myosin heavy chain expression pattern in a muscle-specific fashion. Am J Physiol Cell Physiol. 2001; 280(2):C408–C413. [PubMed: 11208536] 129. Ekmark M, Rana ZA, Stewart G, Hardie DG, Gundersen K. De-phosphorylation of MyoD is linking nerve-evoked activity to fast myosin heavy chain expression in rodent adult skeletal muscle. J Physiol. 2007; 584(2):637–650. [PubMed: 17761773] 130. Macharia R, Otto A, Valasek P, Patel K. Neuromuscular junction morphology, fiber-type proportions, and satellite-cell proliferation rates are altered in MyoD(−/−) mice. Muscle Nerve. 2010; 42(1):38–52. [PubMed: 20544915] 131. Maves L, Waskiewicz AJ, Paul B, Cao Y, Tyler A, Moens CB, Tapscott SJ. Pbx homeodomain proteins direct Myod activity to promote fast-muscle differentiation. Development. 2007; 134(18):3371–3382. [PubMed: 17699609]

Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 20

Author Manuscript Author Manuscript Author Manuscript Author Manuscript

132. Blais A, Tsikitis M, Acosta-Alvear D, Sharan R, Kluger Y, Dynlacht BD. An initial blueprint for myogenic differentiation. Genes Dev. 2005; 19(5):553–569. [PubMed: 15706034] 133. Cao Y, Kumar RM, Penn BH, Berkes CA, Kooperberg C, Boyer LA, Young RA, Tapscott SJ. Global and gene-specific analyses show distinct roles for Myod and Myog at a common set of promoters. EMBO J. 2006; 25(3):502–511. [PubMed: 16437161] 134. Cao Y, Yao Z, Sarkar D, Lawrence M, Sanchez GJ, Parker MH, MacQuarrie KL, Davison J, Morgan MT, Ruzzo WL, et al. Genome-wide MyoD binding in skeletal muscle cells: A potential for broad cellular reprogramming. Dev Cell. 2010; 18(4):662–674. [PubMed: 20412780] 135. Soleimani VD1, Punch VG, Kawabe Y, Jones AE, Palidwor GA, Porter CJ, Cross JW, Carvajal JJ, Kockx CE, van IJcken WF, et al. Transcriptional dominance of Pax7 in adult myogenesis is due to high-affinity recognition of homeodomain motifs. Dev Cell. 2012; 22(6):1208–1220. [PubMed: 22609161] 136. Fong AP, Tapscott SJ. Skeletal muscle programming and re-programming. Curr Opin Genet Dev. 2013; 23(5):568–573. [PubMed: 23756045] 137. Berkes CA, Bergstrom DA, Penn BH, Seaver KJ, Knoepfler PS, Tapscott SJ. Pbx marks genes for activation by MyoD indicating a role for a homeodomain protein in establishing myogenic potential. Mol Cell. 2004; 14(4):465–477. [PubMed: 15149596] 138. Jin S, Kim J, Willert T, Klein-Rodewald T, Garcia-Dominguez M, Mosqueira M, et al. Ebf factors and MyoD cooperate to regulate muscle relaxation via Atp2a1. Nat Commun. 2014; 5:3793. [PubMed: 24786561] 139. Zhang Y, Li W, Zhu M, Li Y, Xu Z, Zuo B. FHL3 differentially regulates the expression of MyHC isoforms through interactions with MyoD and pCREB. Cell Signal. 2015; 28(1):60–73. [PubMed: 26499038] 140. Meissner JD, Umeda PK, Chang K-C, Gros G, Scheibe RJ. Activation of the β myosin heavy chain promoter by MEF-2D, MyoD, p300, and the calcineurin/NFATc1 pathway. J Cell Physiol. 2007; 211(1):138–148. [PubMed: 17111365] 141. Amat R, Planavila A, Chen SL, Iglesias R, Giralt M, Villarroya F. SIRT1 controls the transcription of the peroxisome proliferator-activated receptor-gamma Co-activator-1alpha (PGC-1alpha) gene in skeletal muscle through the PGC-1alpha autoregulatory loop and interaction with MyoD. J Biol Chem. 2009; 284(33):21872–21880. [PubMed: 19553684] 142. Cottle DL, McGrath MJ, Cowling BS, Coghill ID, Brown S, Mitchell CA. FHL3 binds MyoD and negatively regulates myotube formation. J Cell Sci. 2007; 120(8):1423–1435. [PubMed: 17389685] 143. Liu Y, Chu A, Chakroun I, Islam U, Blais A. Cooperation between myogenic regulatory factors and SIX family transcription factors is important for myoblast differentiation. Nucleic Acids Res. 2010; 38(20):6857–6871. [PubMed: 20601407] 144. Liu Y, Chakroun I, Yang D, Horner E, Liang J, Aziz A, Chu A, De Repentigny Y, Dilworth FJ, Kothary R, et al. Six1 regulates MyoD expression in adult muscle progenitor cells. PLoS ONE. 2013; 8(6):e67762. [PubMed: 23840772] 145. Quiat D, Voelker KA, Pei J, Grishin NV, Grange RW, Bassel-Duby R, Olson EN. Concerted regulation of myofiber-specific gene expression and muscle performance by the transcriptional repressor Sox6. Proc Natl Acad Sci U S A. 2011; 108(25):10196–10201. [PubMed: 21633012] 146. Yao Z, Farr GH, Tapscott SJ, Maves L. Pbx and Prdm1a transcription factors differentially regulate subsets of the fast skeletal muscle program in zebrafish. Biol Open. 2013; 2(6):546–555. [PubMed: 23789105] 147. Berger J, Currie PD. Zebrafish models flex their muscles to shed light on muscular dystrophies. Dis Model Mech. 2012; 5(6):726–732. [PubMed: 23115202] 148. Maves L. Recent advances using zebrafish animal models for muscle disease drug discovery. Expert Opin Drug Discov. 2014; 9(9):1033–1045. [PubMed: 24931439] 149. Ortolano S, Tarrío R, Blanco-Arias P, Teijeira S, Rodríguez-Trelles F, García-Murias M, et al. A novel MYH7 mutation links congenital fiber type disproportion and myosin storage myopathy. Neuromuscul Disord. 2011; 21(4):254–262. [PubMed: 21288719] 150. Lamont PJ, Wallefeld W, Hilton-Jones D, Udd B, Argov Z, Barboi AC, Bonneman C, Boycott KM, Bushby K, Connolly AM, et al. Novel mutations widen the phenotypic spectrum of slow

Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 21

Author Manuscript

skeletal/β-cardiac myosin (MYH7) distal myopathy. Hum Mutat. 2014; 35(7):868–879. [PubMed: 24664454] 151. Ruggiero L, Fiorillo C, Gibertini S, De Stefano F, Manganelli F, Iodice R, Vitale F, Zanotti S, Galderisi M, Mora M, et al. A rare mutation in MYH7 gene occurs with overlapping phenotype. Biochem Biophys Res Commun. 2015; 457(3):262–266. [PubMed: 25576864]

Author Manuscript Author Manuscript Author Manuscript Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 22

Author Manuscript Author Manuscript Author Manuscript Author Manuscript

Figure 1.

Skeletal muscle fiber types. (A) Section of human muscle, where fiber types have been differentiated using ATPase staining after pre-incubation at pH 4.6. (B) Illustration showing healthy muscle fibers. Connective tissue (green) interacts with the dystrophin-related complex via basal lamina. Muscle fiber nuclei (orange) are found in peripheral positions. Different fiber types, including type 1 (red), type 2A (pink), and type 2X (purple), can be intermingled within a single mammalian muscle. (C) Particular muscle groups can also be enriched for slow (Soleus) or fast (extensor digitorus longus [EDL]) muscle. In mouse, an

Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 23

Author Manuscript

additional fast fiber type, 2B (blue) is present. (D) In zebrafish trunk musculature, different fiber types are segregated, with the slowest fibers situated laterally, and fast fibers situated medially. (E) Key properties of fiber types, with the color code highlighting the graded shift from slow to fastest fibers. To simplify fiber typing, we operationally define these types by their myosin heavy chain (MYH) expression, however many other factors also distinguish fiber types. For instance, metabolic programs also contribute to muscle fiber phenotype.

Author Manuscript Author Manuscript Author Manuscript Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 24

Author Manuscript Author Manuscript Figure 2.

Author Manuscript

Illustration of some of the known pathways that specify slow (red) or fast (blue) muscle fiber identity during developmental specification or during fiber plasticity. Although the pathways for plasticity are drawn separately from developmental pathways, some factors, such as SIX1, are used during both processes.

Author Manuscript Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 25

Author Manuscript Author Manuscript Author Manuscript

Figure 3.

Schematic examples of factors that modulate MYOD1 activity in the regulation of fibertype-specific gene expression. Protein factors are represented as colored circles binding to DNA regulatory regions of different genes involved in muscle fiber-type differentiation. References for these examples are provided in the text. These examples are highly schematized and are not comprehensive of all known factors that modulate MYOD1 activity. These examples are meant to represent a range of mechanisms, which are not mutually exclusive, for regulating MYOD1 activity.

Author Manuscript Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Talbot and Maves

Page 26

TABLE 1

Author Manuscript

Muscle Disorders With Effects On Specific Skeletal Muscle Fiber Types

Author Manuscript

Disorder

Fiber-type effects

Reference(s)

Duchenne muscular dystrophy

Type 2X fibers first to degenerate.

20,21,22

Facioscapulohumeral muscular dystrophy

Maximum force-generating capacity reduced in type 2 fibers. Increased proportion of type 1 fibers.

28,29

Myotonic dystrophy Type 1 (DM1)

Type 1 fiber atrophy and high frequency of type 1 fibers with central nuclei. Force generation reduced more in type 1 fibers.

31,32,33

Myotonic dystrophy Type 2 (DM2)

Type 2 fiber atrophy, type 2 fiber hypertrophy, and high frequency of type 2 fibers with central nuclei.

31,32

Congenital fiber type disproportion

Predominant proportions of type 1 fibers that are consistently much smaller than type 2 fibers.

34

Myosinopathies

MYH7 mutations can cause smaller diameter type 1 fibers. MYH2 mutations lead to loss of type 2A fibers.

38,149,150,151

Pompe disease

In mouse model, type 2 fibers smaller with massive autophagic build-up.

40,41

Obesity and type 2 diabetes

Reduced proportions of type 1 fibers and increased proportions of type 2X fibers.

47,48,49

Muscle inactivity (spinal cord injury, bed rest)

Type 1 fiber atrophy. Fiber-type shift from type 1 and 2A to 2X.

56,58

Aging/sarcopenia

Type 2 fiber loss and atrophy. Smaller diameter type 2 fibers.

61,62

Heart failure, chronic obstructive pulmonary disease

Fiber-type shift from type 1 to type 2 (limb muscles). Fiber-type shift from type 2 to type 1 (diaphragm).

69

Author Manuscript Author Manuscript Wiley Interdiscip Rev Dev Biol. Author manuscript; available in PMC 2017 July 01.

Skeletal muscle fiber type: using insights from muscle developmental biology to dissect targets for susceptibility and resistance to muscle disease.

Skeletal muscle fibers are classified into fiber types, in particular, slow twitch versus fast twitch. Muscle fiber types are generally defined by the...
1MB Sizes 0 Downloads 17 Views